| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2017: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2016: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2015: ¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
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| Outline of Final Research Achievements |
With regard to the extraction of discriminative and highly accurate motion features with multi-layered structure, we were able to construct video retrieval system ahead of schedule by extracting the gradient motion features, specifically the optical flow features, and training them with convolutional neural networks. In addition, we evaluated our system with a large-scale video database at the TREC Video Retrieval Evaluation benchmark (TRECVID) organized by the National Institute of Standards and Technology and confirmed its effectiveness.
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